Lead System Engineer - Microsoft Azure with Gen AI in Pune, भारत

We are hiring a Lead Cloud Engineer to design, build, and drive enterprise-scale Microsoft Azure platforms with deeply integrated AI capabilities , including advanced Generative AI and Agentic AI solutions.

In this role, you will serve as a technical authority responsible for shaping cloud architecture strategy, leading DevOps and platform engineering transformations, and pioneering the adoption of next-generation AI technologies across the organization. You will collaborate closely with executive stakeholders, engineering teams, and business units to deliver secure, scalable, and resilient systems that power mission-critical workloads and unlock new AI-driven business value.

Architect end-to-end cloud and AI solutions on Azure, ensuring alignment with enterprise strategy, compliance standards, and long-term scalability goals Design highly scalable, secure, and resilient systems capable of supporting mission-critical workloads across multiple business units and geographies Lead DevOps transformation initiatives and establish modern platform engineering practices that improve developer productivity and operational efficiency Define and enforce best practices for CI/CD pipelines, Infrastructure as Code, security controls, and governance frameworks across the engineering organization Develop multi-region, high-availability architectures with robust disaster recovery, failover strategies, and performance optimization Spearhead the adoption of AI-driven solutions across business units by identifying high-impact use cases and guiding implementation from concept to production Design and deliver enterprise-grade Generative AI platforms, integrating LLMs, agentic workflows, and retrieval-augmented generation capabilities at scale Drive AI strategy and adoption by partnering with leadership to define roadmaps, evaluate emerging tools, and align AI investments with business outcomes Foster a culture of innovation through proof-of-concept initiatives, technology evaluations, and the introduction of emerging cloud and AI technologies Collaborate with stakeholders, architects, and leadership teams to translate complex business requirements into actionable technical designs Mentor and guide engineering teams, providing technical leadership, code reviews, and architectural guidance to elevate overall team capability Own the lifecycle of large-scale enterprise systems, including design, deployment, monitoring, optimization, and continuous improvement 8+ years of progressive experience in cloud engineering, systems architecture, and large-scale platform delivery At least 1 year of relevant leadership experience Expert-level proficiency in Microsoft Azure, including compute, storage, identity, networking, and platform services Deep expertise in Kubernetes, Azure Kubernetes Service (AKS), and Docker container orchestration for production workloads Advanced knowledge of cloud networking, security architecture, and governance frameworks across enterprise environments Skills in large-scale Infrastructure as Code design and implementation using Terraform, Bicep, and ARM templates Background in DevOps maturity models, CI/CD pipeline design, and platform engineering practices that enable self-service developer experiences Competency in OS administration across Windows and Linux environments, along with proficiency in scripting languages for automation Expertise in Generative AI fundamentals, Agentic AI concepts (multi-agent systems, orchestration), and Agentic Workflows for enterprise use cases Understanding of Retrieval-Augmented Generation (RAG) architectures at scale, including vector databases, embeddings, and prompt engineering Hands-on experience with Azure AI Foundry and LLM integrations such as OpenAI and Claude for production-grade applications Familiarity with AI orchestration frameworks, including Semantic Kernel (preferred), LangChain/LangGraph, and CrewAI Strong architecture and leadership skills with a proven track record of owning and evolving large-scale enterprise systems end-to-end Proficient communication skills in English (B2 level or higher)